DELAY REDUCTION MEASURES AND THEIR EFFECTS IN DENSE TRANSPORTATION OPERATION USING TRAIN TRAFFIC RECORD DATA

Abstract

 In recent years, reducing delays during the rush hours in metropolitan area has become one of the most important issues to the railway companies. In particular, it is observed that once a small delay happens, it widely spreads out to many other trains. Tokyo Metro has established an approach to reduce train delays by utilizing train traffic record data and visualization of train delays and indications (Static Index, Active Index) and identification of cause of delays. For the Tozai Line that experiences delays and congestions most frequently, Tokyo Metro has been analyzing causes of delays making the most of train traffic record data. In doing so, rescheduling, station staff operation, etc. as well as hardware such as signal facility, station facility and car facility has been improved therefore delay has been greatly shortened.
 In this paper, verified are delay reduction measures and their effects. Moreover, further examined is such delay reduction measures especially for dense lines operating in metropolitan area.